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Convex Formulation of Region-based Image Registration

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An Efficient Algorithm for Level Set Method Preserving Distance Function

Jean-Philippe Thiran, Xavier Bresson, Dominique Zosso, Virginia Estellers Casas

The level set method is a popular technique for tracking moving interfaces in several disciplines including computer vision and fluid dynamics. However, despite its high flexibility, the original level set method is limited by two important numerical issue ...

Institute of Electrical and Electronics Engineers2012

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Benoit Mory

To cope with a variety of clinical applications, research in medical image processing has led to a large spectrum of segmentation techniques that extract anatomical structures from volumetric data acquired with 3D imaging modalities. Despite continuing adv ...

EPFL2011

Geodesic Active Fields

Dominique Zosso

Image registration is the concept of mapping homologous points in a pair of images. In other words, one is looking for an underlying deformation field that matches one image to a target image. The spectrum of applications of image registration is extremely ...

EPFL2011

Fast 3D Model Update for the Compensation of Soft Tissue Deformation in Image Guided Liver Surgery

Benoît Dagon

Today, the use of computer assistance to guide surgeon's gestures becomes increasingly common for interventions on rigid organs such as the hips and vertebrae. Guidance information is provided through the representation of the position of surgical instrume ...

EPFL2010

A Multimodal Evaluation Method for Medical Image Segmentation

Meritxell Bach Cuadra

Evaluation of segmentation methods is a crucial aspect in image processing, especially in the medical imaging field, where small differences between segmented regions in the anatomy can be of paramount importance. Usually, segmentation evaluation is based ...

2009

Variational methods for texture segmentation

Nawal Houhou

In the last decades, image production has grown significantly. From digital photographs to the medical scans, including satellite images and video films, more and more data need to be processed. Consequently the number of applications based on digital imag ...

EPFL2009

Learning and recovering 3D surface deformations

Mathieu Salzmann

Recovering the 3D deformations of a non-rigid surface from a single viewpoint has applications in many domains such as sports, entertainment, and medical imaging. Unfortunately, without any knowledge of the possible deformations that the object of interest ...

EPFL2009

Dense deformation field estimation for atlas registration using the active contour framework

Valérie Duay

A key research area in computer vision is image segmentation. Image segmentation aims at extracting objects of interest in images or video sequences. These objects contain relevant information for a given application. For example, a video surveillance appl ...

EPFL2008

Nonrigid medical image registration

Francisco Javier Sanchez Castro

Over the last two decades medical image processing has become a fundamental tool in medicine, and brain imaging is a paradigm thereof. The fast development of the imaging acquisition techniques allows medical staff to dispose of a variety of data coming fr ...

EPFL2008

Hierarchical Image Registration with an Active Contour-Based Atlas Registration Model

Jean-Philippe Thiran, Valérie Duay, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Nawal Houhou

This paper proposes to apply the non parametric atlas registration framework we have recently developed in [6]. This technique derived from the optical flow model and the active contour framework allows to base the registration of an anatomical atlas on se ...

2008